ga4_create_property

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral disclosure burden. It usefully reveals the confirm guardrail, which prevents accidental creation when false, and indicates that creating a property is the actual side effect. However, it does not state what happens when confirm is false, whether the operation is reversible, or what permissions are needed. This is adequate but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and efficient. The one-sentence purpose is followed by a compact Args list, with each parameter receiving only the necessary explanatory detail. There is no filler or repetition of schema defaults, and the most critical usage detail (confirm must be true) is clearly highlighted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers all six parameters, identifies the prerequisite account_id source, and notes the confirm guardrail, which is enough for an agent to make a correct call. Since an output schema exists, the description does not need to explain return values. Minor gaps remain: the description gives only examples for industry_category rather than a full enumeration, and the behavior when confirm is false is not described.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must fully explain the parameters, and it does. Every parameter is covered: account_id is identified as numeric and sourced from ga4_list_accounts, display_name is tied to the GA4 UI, time_zone uses IANA examples, currency_code uses ISO examples, industry_category is marked optional with examples, and confirm is explained as a required true flag for actual creation. This adds substantial meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Create a new GA4 property under an account.' This clearly distinguishes it from sibling tools like ga4_create_data_stream or ga4_create_conversion_event, which create different GA4 resources. The account scope is also stated, so an agent knows exactly what operation this tool performs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool by explaining the relationship to ga4_list_accounts: the account_id comes from that tool. It also tells the agent that confirm must be true to actually create, which is important operational guidance. It does not explicitly name alternatives or exclusions, but no sibling tool offers the same create-property operation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.